Evidence mapPaperPMID 39639579Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Explore the Staging of Cerebral Venous Thrombosis Through Fibrinolytic Indicators.

Duo Lan, Yibing Guo, Xiaoming Zhang, Xiangqian Huang, Da Zhou, Xunming Ji, Ran Meng

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Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Duo LanDepartment of Neurology, National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yibing GuoDepartment of Neurology, National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiaoming ZhangDepartment of Neurology, National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiangqian HuangDepartment of Neurology, National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.
Da ZhouDepartment of Neurology, National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xunming JiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ran MengDepartment of Neurology, National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-1190-4710

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6 · The paper itself

Abstract

backgroundThe stage of cerebral venous thrombosis (CVT) is crucial to guide treatment decisions. This study aims to examine changes in fibrinolytic indicators throughout CVT onset and validate a predictive model using admission fibrinolytic indicators to estimate the CVT stage.

methodsRetrospective analysis was conducted on data from 292 CVT patients. We utilized linear regression, time series, and univariate ANOVA analyses to explore characteristics of change in fibrinolytic indicators with CVT duration and identified time point at which fibrinolysis indexes showed significant changes as the time point for acute and chronic stages of CVT. A nomogram was employed to construct a prediction model using a training set, which was then evaluated for discrimination, calibration, and clinical utility.

resultsProlonged onset duration independently correlated with decreased fibrinogen and D-dimer after adjusting for all variables, with adjusted correlation coefficients of -0.003 (-0.005, -0.001) and -0.004 (-0.007, -0.001), respectively. Significant changes in fibrinolytic indicators were observed around 14 days after CVT onset. The training set demonstrated an area under the curve (AUC) of 0.851 (95% CI: 0.7989-0.904) for the prediction model. Internal validation showed that the nomogram accurately predicted acute CVT with an AUC of 0.828 (95% CI: 0.738-0.918).

conclusionAccording to the trend of fibrinolysis index, 14 days of onset can be used as the dividing point of acute and chronic stages of CVT. For patients with unclear onset, the present model, based on admission fibrinogen and D-dimer values, can accurately predict the stage of CVT. The high discriminative ability indicates the potential of this model for classifying the acute patient.

Indexed as

FibrinolysisVenous ThrombosisAdultAgedFemaleFibrin Fibrinogen Degradation ProductsHumansIntracranial ThrombosisMaleMiddle AgedNomogramsRetrospective StudiesFibrin Fibrinogen Degradation Productsfibrin fragment Dcerebral venous thrombosisD-dimerfibrinogennomogramstage

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PMID39639579
PMCPMC11622301

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.